Abstract
Retrieving data from large-scale databases sometimes leads to plethoric answers especially when queries are under-specified. To overcome this problem, we propose to strengthen the initial query with additional predicates. These predicates are selected among predefined ones according principally to their degrees of semantic correlation with the initial query in order to avoid an excessive modification of its initial scope. According to the size of the initial answer set and the number of expected results specified by the user, fuzzy cardinalities are used to assess the reduction capability of these correlated predefined predicates.
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Bosc, P., Hadjali, A., Pivert, O., Smits, G. (2010). On the Use of Fuzzy Cardinalities for Reducing Plethoric Answers to Fuzzy Queries. In: Deshpande, A., Hunter, A. (eds) Scalable Uncertainty Management. SUM 2010. Lecture Notes in Computer Science(), vol 6379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15951-0_14
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DOI: https://doi.org/10.1007/978-3-642-15951-0_14
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